amazon web services

Purpose-built for use with the dynamic computing resources available from Amazon Web Services ™, the Intel Lustre* solution provides the fast, massively scalable storage software needed to accelerate performance, even on complex workloads.
Intel is a driving force behind the development of Lustre, and committed to providing fast, scalable, and cost effective storage with added support and manageability. Intel ® Enterprise Edition for Lustre* software is the ideal foundation.
*Other names and brands may be claimed as the property of others.

Why Read This Report
In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard
Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.

The goal of this review is to educate customers on the capabilities that Cisco’s SD-WAN solution provides when working with Amazon Web Services (AWS). ESG describes Cisco’s solution and highlights the business value it can deliver to customers via its integration with AWS. ESG completed this summary as part of an AWS-commissioned report to review nine SD-WAN vendors. Readers should use this review as a starting point when investigating how they can leverage the combination of AWS and Cisco for business advantage.
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The Cloud, once a radical idea in IT, is now mainstream. Whether it’s email, backup or file sharing, most consumers probably use a cloud service or two. Similarly, most IT professionals are familiar with cloud service providers such as Amazon, Google and Microsoft Azure, and many companies have moved at least some of their information technology processes into the cloud. In fact, the cloud has become so popular it’s easy to assume that running IT applications on-premises is not cost competitive with a cloud based service. In this report Evaluator Group will test the validity of that assumption with a TCO (Total Cost of Ownership) model analyzing a hyperconverged appliance solution from HPE and a comparable cloud service from Amazon Web Services (AWS).

For many companies the appeal of the public cloud is very real. For tech startups, the cloud may be their
only option, since many don’t have the capital or expertise to build and operate the IT systems their
businesses need. Existing companies with established data centers are also looking at public clouds, to
increase IT agility while limiting risk. The idea of building-out their production capacity while possibly
reducing the costs attached to that infrastructure can be attractive. For most companies the cloud isn’t
an “either-or” decision, but an operating model to be evaluated along with on-site infrastructure. And
like most infrastructure decisions the question of cost is certainly a consideration.
In this report we’ll explore that question, comparing the cost of an on-site hyperconverged solution with
a comparable set up in the cloud. The on-site infrastructure is a Dell EMC VxRailTM hyperconverged
appliance cluster and the cloud solution is Amazon Web Services (AWS).

One of the value propositions of an Internet of Things (IoT) strategy is the ability to provide insight that was previously invisible to the business. But before a business can develop a strategy for IoT, it needs a platform that meets the foundational principles of an IoT solution. Amazon Web Services (AWS) believes in some basic freedoms that are driving organizational and economic benefits of the cloud into businesses. These freedoms are why more than a million customers already use the AWS platform to support virtually any cloud workload. These freedoms are also why AWS is proving itself as the primary catalyst to any Internet of Things strategy across commercial, consumer, and industrial solutions.
This paper outlines core tenets that should be considered when developing an IoT strategy, the benefits of AWS in that strategy and how the AWS cloud platform can be the critical component supporting those core tenets.

What is a Data Lake?
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems.
Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
Download to find out more now.

Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes.
This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.

As easy as it is to get swept up by the hype surrounding big data, it’s just as easy for organizations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt.
However, given big data’s power to transform business, it’s critical that organizations overcome these challenges and realize the value of big data.
Download now to find out more.

IDC’s research has shown the movement of most IT workloads to the cloud in the coming years. Yet, with all the talk about enterprises moving to the cloud, some of them still wonder if such a move is really cost effective and what business benefits may result. While the answers to such questions vary from workload to workload, one area attracting particular attention is that of the data warehouse.
Many enterprises have substantial investments in data warehousing, with an ongoing cost to managing that resource in terms of software licensing, maintenance fees, operational costs, and hardware. Can it make sense to move to a cloud-based alternative? What are the costs and benefits? How soon can such a move pay itself off?
Download now to find out more.

Defining the Data Lake
“Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.

In this report we’ll explore that question, comparing the cost of an on-site hyperconverged solution with a comparable set up in the cloud. The on-site infrastructure is a Dell EMC VxRailTM hyperconverged appliance cluster and the cloud solution is Amazon Web Services (AWS).

Are you an AWS user looking to accelerate time to market? Lower costs? Or avoid painful mistakes as you migrate your applications to the Cloud? Whether you’ve already moved to the Cloud or are getting ready to migrate, New Relic helps Amazon Web
Services (AWS) users improve the performance and end-user experience of their applications.

Whether you've already moved to the cloud or are ready to migrate, New Relic helps Amazon Web Services (AWS) users improve performance. Drawing on our deep cloud expertise and best practices we can offer to successfully migrate, operate, and optimize your cloud-hosted applications.

Whether you've already moved to the cloud or are ready to migrate, New Relic helps Amazon Web Services (AWS) users improve performance. Here are five best practices that can help you improve the end-user experience, simplify management, and reduce the cost of your AWS environment.

Whether you've already moved to the cloud or are ready to migrate, New Relic helps Amazon Web Services (AWS) users improve performance. Drawing on our deep cloud expertise and best practices we can offer to successfully migrate, operate, and optimize your cloud-hosted applications.

Apache Spark has become a critical tool for all types of businesses across all industries. It is enabling organizations to leverage the power of analytics to drive innovation and create new business models.
The availability of public cloud services, particularly Amazon Web Services, has been an important factor in fueling the growth of Spark. However, IT organizations and Spark users are beginning to run up against limitations in relying on the public cloud—namely control, cost and performance.

The cloud is now the center of most enterprise IT strategies. Many enterprises find that a well-planned “lift and shift” move to the cloud results in an immediate business payoff. This whitepaper is intended for IT pros and business decision makers in Microsoft-centric organizations who want to take a cloud-based approach to IT and must modernize existing business-critical applications built on Microsoft Windows Server and Microsoft SQL Server. This paper covers the benefits of modernizing applications on Amazon Web Services (AWS) and how to get started on the journey.

The hybrid cloud has been heralded as a promising IT operational model enabling enterprises to maintain security and control over the infrastructure on which their applications run. At the same time, it promises to maximize ROI from their local data center and leverage public cloud infrastructure for an occasional demand spike.
Public clouds are relatively new in the IT landscape and their adoption has accelerated over the last few years with multiple vendors now offering solutions as well as improved on-ramps for workloads to ease the adoption of a hybrid cloud model.
With these advances and the ability to choose between a local data center and multiple public cloud offerings, one fundamental question must still be answered: What, when and where to run workloads to assure performance while maximizing efficiency?
In this whitepaper, we explore some of the players in Infrastructure-as-a-Service (IaaS) and hybrid cloud, the challenges surrounding effective implementation, and how to iden